Amazon RDS vs Google Cloud SQL comparison

Why PeerSpot?

Amazon Web Services (AWS) and Google are both solutions in the Database as a Service (DBaaS) category. Amazon Web Services (AWS) is ranked #2 with an average rating of 8.4, while Google is ranked #6 with an average rating of 7.4. Amazon Web Services (AWS) holds a 12.7% mindshare in DS, compared to Google’s 6.5% mindshare. Additionally, 98% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Google users who would recommend it.

Amazon RDS

Read 59 Amazon RDS reviews

8,912 Views
7,664 Comparison Views

98% willing to recommend

Google Cloud SQL

Read 24 Google Cloud SQL reviews

4,523 Views
3,573 Comparison Views

100% willing to recommend

Amazon RDS

Google Cloud SQL

Comparison Buyer's Guide

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Executive SummaryUpdated on Jun 3, 2026

Amazon RDS and Google Cloud SQL are popular managed database services competing in the cloud database category. Amazon RDS appears to have the upper hand in cost-efficiency and supports more database engines, while Google Cloud SQL is noted for its integration and initial affordability.

Features: Amazon RDS provides a fully managed database environment with support for multiple engines like MySQL, Oracle, and PostgreSQL, automated administrative tasks, and strong encryption via KMS. Google Cloud SQL offers high availability options, integration with other Google Cloud services, and a flexible, scalable environment for SQL workloads.

Room for Improvement: Amazon RDS could enhance feature availability, improve Microsoft product integration, and provide clearer pricing and more accessible support. Google Cloud SQL needs better documentation and support for complex operations, enhanced integration capabilities, and improved AI functionalities in query analytics.

Ease of Deployment and Customer Service: Both Amazon RDS and Google Cloud SQL support public cloud deployments, with Amazon RDS also supporting hybrid setups. Customer service is adequate for both, though users desire more responsive support at premium tiers, with Amazon's segmented support response depending on service level agreements.

Pricing and ROI: Amazon RDS offers significant ROI through cost optimization and reduced database management needs, making it cost-effective despite potential pricing transparency issues. Google Cloud SQL is affordable, particularly with its community-source licensing, and both platforms show strong ROI across various scenarios.

To learn more, read our detailed Amazon RDS vs. Google Cloud SQL Report (Updated: September 2026).

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

September 2026

Download the complete report

Helped 915,341 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon RDS

Ranking in Database as a Service (DBaaS)

2nd

Ranking in Relational Databases Tools

9th

Average Rating

8.4

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Google Cloud SQL

Ranking in Database as a Service (DBaaS)

6th

Ranking in Relational Databases Tools

18th

Average Rating

8.2

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

Database Management Systems (DBMS) (12th)

Mindshare comparison

As of October 2026, in the Database as a Service (DBaaS) category, the mindshare of Amazon RDS is 12.7%, down from 19.1% compared to the previous year. The mindshare of Google Cloud SQL is 6.5%, down from 10.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Database as a Service (DBaaS) Mindshare Distribution
Product	Mindshare (%)
Amazon RDS	12.7%
Google Cloud SQL	6.5%
Other	80.8%

Database as a Service (DBaaS)

Featured Reviews

Donny Trijatmiko

Dev Ops Engineer at MyRobin.ID

Managed databases have simplified recovery and high availability for AI recruitment workloads

The features of Amazon RDS that I have found most valuable and useful so far are its fully managed service, point-in-time restore, and other serverless features such as snapshots and backups, which have eased my job to manage databases. The automated backups of Amazon RDS help in data recovery by mitigating disaster recovery. I can revert to the nearest time if there is any data corruption or other issues, and this helps tremendously. I assess Amazon RDS's read replica feature for improving application performance as good. For standby nodes in Amazon RDS, I am using them for high failover, and so far it has been performing well. I have used Amazon RDS's Multi-AZ deployments, and it helps enhance data availability by providing high failover. It enhances high availability for my application as well.

Read full review

RituRaj

SDE 2 at Virtusa

Drag and drop workflows have simplified data mapping and currently improve my cloud database work

The IPaaS Connector, which I have found most valuable, is part of Google Cloud SQL. Google Cloud's user interface is really good, which improves efficiency in my database operations. The UI is excellent, making it easier to understand what we are doing. Currently, I am working on IPaaS Connector, so it is really just a clickable interface without writing any code. I simply use drag and drop and connecting lines, and it is working. Google Cloud SQL's global infrastructure improves our database's latency metrics because we are using Gemini in our project. Since both are products of Google, it makes our product faster.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"It significantly reduces database management overhead."

"I found it to be a stable solution."

"The product's most valuable features are option groups, S3 integration, automated and scheduled snapshots, and cross-region replication."

"It makes it easy to administer the database. It helps to scale your database by providing Read Replicas, which reduce transaction time. It is highly available and durable which helps in disaster recovery and management."

"The product is very, very easy to use."

"Amazon RDS is very easy to use."

"Based on my experience, I would rate this solution a nine out of ten."

"The most valuable features of Amazon RDS are its scalability, reliability, and intelligence."

More Amazon RDS pros

"Google Cloud SQL is easy to start with and allows me to scale as needed, which is advantageous from a developer perspective."

"Licensing is not applicable; pricing is reasonable."

"Its most valuable feature is that it's scalable; I can start off with a base of a lot of data and move as much as I want without a lot of infrastructure changes, so I can run a release model experiment on a thousand people and, if that experiment is a success, run it on a million people without any changes while keeping it much more cost-sensitive for me to do it."

"It's all built into the web browser, so any operating system will work."

"I found its storage and security to be the most valuable. It was a good experience. It is also very stable and scalable, and its support is perfect."

"Google Cloud SQL provides complete customization options, along with a dashboarding tool and a comprehensive suite of tools that can be used to customize and build any application needed."

"The main benefit to our organization is the fact that we no longer need DB admins that take care of the physical servers, backups etc... All this is managed by GCP."

"The deployment model allows for significant control and flexibility."

More Google Cloud SQL pros

Cons

"The technical support from Amazon could improve. I would rate them a six out of ten as they do not fully meet my expectations."

"The solution's version upgrade and performance could be improved."

"Amazon RDS should have a more user-friendly graphical user interface and include better database management options."

"RDS doesn't have shell access."

"One notable improvement that could enhance the database management experience, particularly during migration scenarios, is the accessibility of the root user."

"Sometimes the interface has many moving parts, which is a concern."

"When you are using it for the first time, it is a little bit hard to configure. The first-time configuration is not very easy. It should be easier to configure. Its installation should also be simpler. Currently, its installation is very complex. With SQL Server, we have access to the SQL Server analysis services and reporting services, but such services are not available with Amazon RDS."

"The backup and restore processes take more time compared to other providers. For instance, if DigitalOcean takes two minutes to restore or create a backup, AWS will take 2 to 3 minutes."

More Amazon RDS cons

"I would like to see better integration with all the different tools on the platform."

"Google Cloud SQL needs to improve its support for high-end I/O operations. On-prem systems with high I/O capabilities perform better, as Google Cloud SQL takes more time to handle the same tasks."

"The most challenging part is dealing with legacy data from your old systems and migrating it into the new setup, but once you've completed the data migration, it becomes quite convenient to use."

"They could improve documentation and dashboard stability for efficient user experience and database management."

"There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Connector. When I click a button such as open configuration on data map configuration, the UI becomes totally white, no text is visible clearly, and it is very frustrating."

"The purging of the data could be better."

"We see latency issues, so we were forced to introduce an in-memory store."

"In the case of Google, they need to work on a more easy interface for users."

More Google Cloud SQL cons

Pricing and Cost Advice

"I would rate the tool's pricing an eight out of ten."

"The solution’s pricing could be cheaper."

"Amazon RDS is cheaper compared to other tools."

"Amazon RDS could improve by reducing the price."

"The solution's pricing needs improvement."

"The pricing of RDS is a little bit high compared to Microsoft... However, it is a good price compared to other solutions."

"The cost of using this solution is similar to that of having your own data center."

"AWS is becoming pretty expensive because cheap or absolutely free services have become paid services. Amazon RDS is not an expensive product, but Amazon's ecosystem is becoming increasingly expensive."

More Amazon RDS pricing and cost advice

"It's really cheap. It wouldn't be more than, I believe it's around 50 euro per month for running a cloud SQL."

"You need to pay extra costs for backup and replication."

"The pricing is very much an important factor as to why we use this solution."

"From a financial perspective, Google Cloud SQL is on the cheaper side."

"While the platform’s pricing may be higher, it aligns with industry standards, considering the quality of service and features provided."

"The solution is affordable."

"It is not expensive, especially considering the significant reduction in database management time."

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Top Industries

By visitors reading reviews

Construction Company

10%

Outsourcing Company

Financial Services Firm

University

Educational Organization

13%

Financial Services Firm

13%

Comms Service Provider

10%

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	16
Large Enterprise	24

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	5
Large Enterprise	10

Questions from the Community

What is your experience regarding pricing and costs for Amazon RDS?

The pricing for Amazon RDS is reasonable.

See all answers

What needs improvement with Amazon RDS?

I think Amazon RDS can be improved or enhanced if it can be implemented with other monitoring tools such as Percona. Currently, I am trying to add Percona monitoring for monitoring in addition to i...

See all answers

What is your primary use case for Amazon RDS?

Amazon RDS is typically used for AI applications. I am developing it for an AI recruitment agent and for collecting data for HRIS, Software as a Service for a workforce as a service, and storing data.

See all answers

What is your experience regarding pricing and costs for Google Cloud SQL?

We have set up automated patch management for Google Cloud SQL, and it does on a daily basis what needs to be done, so it is pretty good overall for maintaining our database security.

See all answers

What needs improvement with Google Cloud SQL?

I would to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I have noticed recently, specifically something called data mapping in IPaaS Con...

See all answers

What is your primary use case for Google Cloud SQL?

I am not working with Oracle; everything I am working on is on Google. I would like to improve a few glitches in Google Cloud SQL that I have recently noticed. There are a few UI glitches that I ha...

See all answers

Comparisons

MongoDB Atlas vs Amazon RDS

Compared 10% of the time

Microsoft Azure SQL Database vs Amazon RDS

Compared 7% of the time

Oracle Database as a Service vs Amazon RDS

Compared 6% of the time

Azure Database for PostgreSQL vs Amazon RDS

Compared 5% of the time

YugabyteDB vs Amazon RDS

Compared 5% of the time

More Amazon RDS Competitors

MongoDB Atlas vs Google Cloud SQL

Compared 14% of the time

Microsoft Azure SQL Database vs Google Cloud SQL

Compared 13% of the time

Amazon Aurora vs Google Cloud SQL

Compared 7% of the time

Google Cloud Spanner vs Google Cloud SQL

Compared 6% of the time

EDB Ark vs Google Cloud SQL

Compared 5% of the time

More Google Cloud SQL Competitors

Product Reports

Buyer's Guide

Amazon RDS

October 2026

Download Amazon RDS product report

Buyer's Guide

Google Cloud SQL

September 2026

Download Google Cloud SQL product report

Also Known As

RDS

No data available

Overview

Amazon RDS offers scalability, high availability, and security. It supports multiple database engines and facilitates automated backups and data encryption, with a focus on user-friendly features.

Amazon RDS is a managed database service supporting engines like MySQL and PostgreSQL. It enhances resilience through Multi-AZ deployments and integrates with tools like CloudWatch for monitoring and cost management. Users appreciate its ease of use, performance insights, and the reduction in administrative tasks which enable them to concentrate on business objectives. However, some users find interface complexity and administrative privilege needs challenging, along with migration difficulties.

What are the key features of Amazon RDS?

Scalability: Supports storage and read replicas to handle growing data needs.
High Availability: Multi-AZ deployments ensure database resilience.
Security: Features such as data encryption and automated backups protect data.

What benefits should users expect?

Streamlined Administration: Reduces time spent on database management.
Improved Performance: Access to performance insights for optimization.
Cost Efficiency: Monitoring tools help manage and reduce costs.

In industries like web development, fintech, and e-commerce, Amazon RDS is utilized to optimize database handling, ensure high availability, and facilitate secure data transactions. Organizations often use AWS migration tools to transition from on-premises infrastructures to cloud environments, benefiting from managed services to focus on enhancement rather than maintenance.

Amazon Web Services (AWS)

Google Cloud SQL provides a fully managed database service underscoring ease of use, scalability, and integration with Google Cloud Platform services.

This platform facilitates database operations from automated backups to high availability, supporting databases like Postgres and MySQL. Its intuitive design eases management, while robust features like multi-region support and automatic scaling cater to developers seeking efficient infrastructure management without the burden of extensive backend tasks. Users from industries requiring scalable applications find it especially useful for its seamless integration with development projects and minimal maintenance demands, enabling a focus on innovative application development.

What are the standout features of Google Cloud SQL?

Automated Backups: Ensures data safety by automatically backing up databases.
Read Replicas: Enhances performance and availability with read operations across multiple copies.
Scalability: Provides dynamic scaling to handle workload changes efficiently.
High Availability: Offers reliable uptime with regional failover solutions.
Customization Flexibility: Adapts to specific needs with varied instance configurations.

What benefits should users explore in reviews?

Ease of Management: Simplifies database tasks allowing developers to concentrate on building applications.
Integration: Seamlessly connects with Google Cloud services enhancing operational capabilities.
Global Accessibility: Facilitates access to data from anywhere, supporting international operations.
Cost Efficiency: Reduces costs through its managed services model, reducing infrastructure overhead.

Industries leverage Google Cloud SQL within mobile applications, web frameworks, and marketing analytics. It supports hosting solutions in microservices and private VPC environments extending its use across internal and external infrastructure systems. By simplifying maintenance and migration from on-premises databases, companies achieve reliability and enhance their data management strategies.

Google

Sample Customers

Edmodo

BeDataDriven, CodeFutures, Daffodil, GenieConnect, KiSSFLOW, LiveHive, SulAm_rica, Zync

Buyer's Guide

Amazon RDS vs. Google Cloud SQL

September 2026

Free Report: Amazon RDS vs. Google Cloud SQL

Find out what your peers are saying about Amazon RDS vs. Google Cloud SQL and other solutions. Updated: September 2026.

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See our Amazon RDS vs. Google Cloud SQL report.

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